Not exact matches
Last week there was a paper by Smith and colleagues in Science that tried to fill in those early years,
using a model that initialises the heat content from the upper ocean — with the idea that the structure of those
anomalies control the «
weather» progression over the next few years.
Doesn't
using a «baseline for
anomaly calculation» «equal to the time span being analyzed» decrease REAL extreme
weather event probabilities much the same way as
using a sliding baseline minimizes the slope of temperature increase?
It included an animation of the HADSST2 SST
anomalies for 1939 through 1947,
using maps of 12 - month average data to reduce the seasonal component and
weather noise.
This report discusses our current understanding of the mechanisms that link declines in Arctic sea ice cover, loss of high - latitude snow cover, changes in Arctic - region energy fluxes, atmospheric circulation patterns, and the occurrence of extreme
weather events; possible implications of more severe loss of summer Arctic sea ice upon
weather patterns at lower latitudes; major gaps in our understanding, and observational and / or modeling efforts that are needed to fill those gaps; and current opportunities and limitations for
using Arctic sea ice predictions to assess the risk of temperature / precipitation
anomalies and extreme
weather events over northern continents.
The lowest line (open boxes)
uses an 80 - year baseline (1931 - 2010) to identify extreme hot
weather anomalies during 2006 - 2011.
The physical consistency, or covariance, of
weather and climate
anomalies over wide areas is
used to detect artificial jumps in the data when comparing a station to its nearest neighbours.
They
used available data to deduce what climate and
weather variations would naturally look like, discovering
anomalies.
Recent boreal winters have exhibited a large - scale seesaw temperature pattern characterized by an unusually warm Arctic and cold continents...
Using a recently developed index of severe winter
weather, we show that the occurrence of severe winter
weather in the United States is significantly related to
anomalies in pan-Arctic geopotential heights and temperatures.
Using a recently developed index of severe winter
weather, we show that the occurrence of severe winter
weather in the United States is significantly related to
anomalies in pan-Arctic geopotential heights and temperatures.